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  • Memcached clustered alternative

    - by Johan Kooijman
    I'm looking to replace memcached. We have a LOT of traffic to our central memcached node which I'd like to split. There's only so much trunking networks I can do. My general idea is to install a memcached-type daemon on every webserver and have the daemons replicate set/delete/updates over all the daemons, so that each webserver connects to a socket or on localhost. All data should be available on all nodes. The alternatives: - repcached (max 2 masters) - redis (single master) - couchdb/mongodb/handlersocket - persistent data on disk, I'd like to remove the disk part to gain more performance. Any hints?

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  • Skype audio always goes 'robotic' for the same user

    - by John
    Someone I talk to on Skype a lot has a very persistent issue, where after a few minutes their voice goes very 'robotic'... still understandable but annoying. We can restart the call and it's fine, but fairly consistently after a few minutes it returns. He experiences this with other people too, not just me - I don't have anyone report problems with my audio quality. This is not an ISP issue - he gets the same problem on multiple PCs in different countries, in fact he's even recently moved to a different continent and got a new internet connection... same problem. It seems somehow to be a problem with his Skype account, which is really quite odd. It's been going on for months of not longer.

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  • What alternative is there to Nginx that supports http keep-alive between backends ?

    - by felace
    Hi. I recently asked a question about how to keep a backend connection persistent using Nginx, but found out it wasn't possible anyway, It is an HTTP/1.0 proxy without the ability for keep-alive requests yet. (As a result, backend connections are created and destroyed on every request.) It works all fine right now (since the connection between client and Nginx is kept alive and the result is simply the same), but I don't want to establish a new connection every single time a new request is received ,even if it's on a unix domain socket. So, what software (preferably open-source and not too tedious to configure) do you recommend to accomplish that such connections ?

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  • How can I solve Windows PPTP VPN issues?

    - by Robin M
    I'm having persistent problems with Windows PPTP VPN connections. The VPN appears up whilst the tunnel won't transfer traffic (ping to a remote IP within the VPN works for a while, and then fails). The client receives routing information via DHCP. When the connection fails, the routing table is still correct so I don't think it's a routing problem. My internet connection is via an ADSL2 line. There's software to deal with PPTP problems, like TunnelRat, but I don't want to install v1.1 of the .NET framework and I'd rather get to the bottom of the problem (I have multiple VPN connections and some are more unreliable than others). What can I do to get to the bottom of this? Alternatively, what can I do to keep the connection alive?

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  • Tricking Linux apps about current time with environment variables

    - by geek
    Sometimes it is possible to trick a Linux app by calling it like this: HOME=/tmp/foo myapp This would make myapp think /tmp/foo is the home directory, it won't try to get the user id, find its home directory via getpwent(). This is useful when myapp must be forced to dump some of its config files into a non-standard location different than ~. A similar trick can be done like this: LANG=foo LC_ALL=bar myapp This is useful when myapp needs to be called once with a different locale without having to make the change persistent by using the export bash built-in or even modify stuff in /etc/profile. Is it possible to pull the same trick with time and date? The goal is to make an app use another time than the system ones. The final goal - to make timestamps that appear in logs/commit messages not being tied to the system time.

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  • How to enable Postfix filter on OS X server (Lion) without getting overwritten?

    - by mjbraun
    I have a Postfix after-queue content filter that works fine on stock Ubuntu Postfix install. However, on a OS X Lion Server I'm testing out, I see this "auto-generated" language in the master.cf file: # ==== Begin auto-generated section ======================================== # This section of the master.cf file is auto-generated by the Server Admin # Mail backend plugin whenever mails settings are modified. smtp inet n - n - 1 postscreen smtpd pass - - n - - smtpd -o receive_override_options=no_address_mappings The problem is, to enable the filter the same area of the master.cf file has to be changed to have an entry like this: smtp inet n - - - - smtpd -o content_filter=mytest_filter:dummy So, it looks like the line would be blown away every I make a change in Server Admin. Is there a better place for me to put the call to the filter such that it's persistent? I appreciate any assistance and/or guidance!

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  • Application running as a service is not able to create the same number of processes as when it runs

    - by Pini Reznik
    I have a Windows application which creates up to 35 processes and it's working OK when it's running from cmd. But when it is executed as a service on the same machine it is able to create only 20 processes and all other are killed because of some kind of resource exhaustion problem. The problem is persistent on one Windows 2003 server but not reproducible on other servers. Can it be because the system has run out of desktop heap? http://support.microsoft.com/kb/184802 How can I check it?

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  • Oracle performance problem

    - by jreid42
    We are using an Oracle 11G machine that is very powerful; has redundant storage etc. It's a beast from what I have been told. We just got this DB for a tool that when I first came on as a coop had like 20 people using, now its upwards of 150 people. I am the only one working on it :( We currently have a system in place that distributes PERL scripts across our entire data center essentially giving us a sort of "grid" computing power. The Perl scripts run a sort of simulation and report back the results to the database. They do selects / inserts. The load is not very high for each script but it could be happening across 20-50 systems at the same time. We then have multiple data centers and users all hitting the same database with this same approach. Our main problem with this is that our database is getting overloaded with connections and having to drop some. We sometimes have upwards of 500 connections. These are old perl scripts and they do not handle this well. Essentially they fail and the results are lost. I would rather avoid having to rewrite a lot of these as they are poorly written, and are a headache to even look at. The database itself is not overloaded, just the connection overhead is too high. We open a connection, make a quick query and then drop the connection. Very short connections but many of them. The database team has basically said we need to lower the number of connections or they are going to ignore us. Because this is distributed across our farm we cant implement persistent connections. I do this with our webserver; but its on a fixed system. The other ones are perl scripts that get opened and closed by the distribution tool and thus arent always running. What would be my best approach to resolving this issue? The scripts themselves can wait for a connection to be open. They do not need to act immediately. Some sort of queing system? I've been suggested to set up a few instances of a tool called "SQL Relay". Maybe one in each data center. How reliable is this tool? How good is this approach? Would it work for what we need? We could have one for each data center and relay requests through it to our main database, keeping a pipeline of open persistent connections? Does this make sense? Is there any other suggestions you can make? Any ideas? Any help would be greatly appreciated. Sadly I am just a coop student working for a very big company and somehow all of this has landed all on my shoulders (there is literally nobody to ask for help; its a hardware company, everybody is hardware engineers, and the database team is useless and in India) and I am quite lost as what the best approach would be? I am extremely overworked and this problem is interfering with on going progress and basically needs to be resolved as quickly as possible; preferably without rewriting the whole system, purchasing hardware (not gonna happen), or shooting myself in the foot. HELP LOL!

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  • Why did I get this error : java.lang.Exception: XMLEncoder: discarding statement Vector.add() ?

    - by Frank
    My Java program look like this : public class Biz_Manager { static Contact_Info_Setting Customer_Contact_Info_Panel; static XMLEncoder XML_Encoder; ...... void Get_Customer_Agent_Shipping_Company_And_Shipping_Agent_Net_Worth_Info() { try { XML_Encoder=new XMLEncoder(new BufferedOutputStream(new FileOutputStream(Customer_Contact_Info_Panel.Contact_Info_File_Path))); XML_Encoder.writeObject(Customer_Contact_Info_Panel.Contacts_Vector); } catch (Exception e) { e.printStackTrace(); } finally { if (XML_Encoder!=null) { XML_Encoder.close(); // <== Error here , line : 9459 XML_Encoder=null; } } } } // ======================================================================= public class Contact_Info_Setting extends JPanel implements ActionListener,KeyListener,ItemListener { public static final long serialVersionUID=26362862L; ...... Vector<Contact_Info_Entry> Contacts_Vector=new Vector<Contact_Info_Entry>(); ...... } // ======================================================================= package Utility; import java.io.*; import java.util.*; import javax.jdo.annotations.IdGeneratorStrategy; import javax.jdo.annotations.IdentityType; import javax.jdo.annotations.PersistenceCapable; import javax.jdo.annotations.Persistent; import javax.jdo.annotations.PrimaryKey; @PersistenceCapable(identityType=IdentityType.APPLICATION) public class Contact_Info_Entry implements Serializable { @PrimaryKey @Persistent(valueStrategy=IdGeneratorStrategy.IDENTITY) public Long Id; public static final long serialVersionUID=26362862L; public String Contact_Id="",First_Name="",Last_Name="",Company_Name="",Branch_Name="",Address_1="",Address_2="",City="",State="",Zip="",Country=""; ...... public boolean B_1; public Vector<String> A_Vector=new Vector<String>(); public Contact_Info_Entry() { } public Contact_Info_Entry(String Other_Id) { this.Other_Id=Other_Id; } ...... public void setId(Long value) { Id=value; } public Long getId() { return Id; } public void setContact_Id(String value) { Contact_Id=value; } public String getContact_Id() { return Contact_Id; } public void setFirst_Name(String value) { First_Name=value; } public String getFirst_Name() { return First_Name; } public void setLast_Name(String value) { Last_Name=value; } public String getLast_Name() { return Last_Name; } public void setCompany_Name(String value) { Company_Name=value; } public String getCompany_Name() { return Company_Name; } ...... } I got this error message : java.lang.Exception: XMLEncoder: discarding statement Vector.add(Contact_Info_Entry); Continuing ... java.lang.Exception: XMLEncoder: discarding statement Vector.add(Contact_Info_Entry); Continuing ... java.lang.Exception: XMLEncoder: discarding statement Vector.add(Contact_Info_Entry); Continuing ... java.lang.Exception: XMLEncoder: discarding statement Vector.add(Contact_Info_Entry); Continuing ... Exception in thread "Thread-8" java.lang.NullPointerException at java.beans.XMLEncoder.outputStatement(XMLEncoder.java:611) at java.beans.XMLEncoder.outputValue(XMLEncoder.java:552) at java.beans.XMLEncoder.outputStatement(XMLEncoder.java:682) at java.beans.XMLEncoder.outputStatement(XMLEncoder.java:687) at java.beans.XMLEncoder.outputValue(XMLEncoder.java:552) at java.beans.XMLEncoder.flush(XMLEncoder.java:398) at java.beans.XMLEncoder.close(XMLEncoder.java:429) at Biz_Manager.Get_Customer_Agent_Shipping_Company_And_Shipping_Agent_Net_Worth_Info(Biz_Manager.java:9459) Seems it can't deal with vector, why ? Anything wrong ? How to fix it ? Frank

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  • Performance issues with jms and spring integration. What is wrong with the following configuration?

    - by user358448
    I have a jms producer, which generates many messages per second, which are sent to amq persistent queue and are consumed by single consumer, which needs to process them sequentially. But it seems that the producer is much faster than the consumer and i am having performance and memory problems. Messages are fetched very very slowly and the consuming seems to happen on intervals (the consumer "asks" for messages in polling fashion, which is strange?!) Basically everything happens with spring integration. Here is the configuration at the producer side. First stake messages come in stakesInMemoryChannel, from there, they are filtered throw the filteredStakesChannel and from there they are going into the jms queue (using executor so the sending will happen in separate thread) <bean id="stakesQueue" class="org.apache.activemq.command.ActiveMQQueue"> <constructor-arg name="name" value="${jms.stakes.queue.name}" /> </bean> <int:channel id="stakesInMemoryChannel" /> <int:channel id="filteredStakesChannel" > <int:dispatcher task-executor="taskExecutor"/> </int:channel> <bean id="stakeFilterService" class="cayetano.games.stake.StakeFilterService"/> <int:filter input-channel="stakesInMemoryChannel" output-channel="filteredStakesChannel" throw-exception-on-rejection="false" expression="true"/> <jms:outbound-channel-adapter channel="filteredStakesChannel" destination="stakesQueue" delivery-persistent="true" explicit-qos-enabled="true" /> <task:executor id="taskExecutor" pool-size="100" /> The other application is consuming the messages like this... The messages come in stakesInputChannel from the jms stakesQueue, after that they are routed to 2 separate channels, one persists the message and the other do some other stuff, lets call it "processing". <bean id="stakesQueue" class="org.apache.activemq.command.ActiveMQQueue"> <constructor-arg name="name" value="${jms.stakes.queue.name}" /> </bean> <jms:message-driven-channel-adapter channel="stakesInputChannel" destination="stakesQueue" acknowledge="auto" concurrent-consumers="1" max-concurrent-consumers="1" /> <int:publish-subscribe-channel id="stakesInputChannel" /> <int:channel id="persistStakesChannel" /> <int:channel id="processStakesChannel" /> <int:recipient-list-router id="customRouter" input-channel="stakesInputChannel" timeout="3000" ignore-send-failures="true" apply-sequence="true" > <int:recipient channel="persistStakesChannel"/> <int:recipient channel="processStakesChannel"/> </int:recipient-list-router> <bean id="prefetchPolicy" class="org.apache.activemq.ActiveMQPrefetchPolicy"> <property name="queuePrefetch" value="${jms.broker.prefetch.policy}" /> </bean> <bean id="connectionFactory" class="org.springframework.jms.connection.CachingConnectionFactory"> <property name="targetConnectionFactory"> <bean class="org.apache.activemq.ActiveMQConnectionFactory"> <property name="brokerURL" value="${jms.broker.url}" /> <property name="prefetchPolicy" ref="prefetchPolicy" /> <property name="optimizeAcknowledge" value="true" /> <property name="useAsyncSend" value="true" /> </bean> </property> <property name="sessionCacheSize" value="10"/> <property name="cacheProducers" value="false"/> </bean>

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  • hosting simple python scripts in a container to handle concurrency, configuration, caching, etc.

    - by Justin Grant
    My first real-world Python project is to write a simple framework (or re-use/adapt an existing one) which can wrap small python scripts (which are used to gather custom data for a monitoring tool) with a "container" to handle boilerplate tasks like: fetching a script's configuration from a file (and keeping that info up to date if the file changes and handle decryption of sensitive config data) running multiple instances of the same script in different threads instead of spinning up a new process for each one expose an API for caching expensive data and storing persistent state from one script invocation to the next Today, script authors must handle the issues above, which usually means that most script authors don't handle them correctly, causing bugs and performance problems. In addition to avoiding bugs, we want a solution which lowers the bar to create and maintain scripts, especially given that many script authors may not be trained programmers. Below are examples of the API I've been thinking of, and which I'm looking to get your feedback about. A scripter would need to build a single method which takes (as input) the configuration that the script needs to do its job, and either returns a python object or calls a method to stream back data in chunks. Optionally, a scripter could supply methods to handle startup and/or shutdown tasks. HTTP-fetching script example (in pseudocode, omitting the actual data-fetching details to focus on the container's API): def run (config, context, cache) : results = http_library_call (config.url, config.http_method, config.username, config.password, ...) return { html : results.html, status_code : results.status, headers : results.response_headers } def init(config, context, cache) : config.max_threads = 20 # up to 20 URLs at one time (per process) config.max_processes = 3 # launch up to 3 concurrent processes config.keepalive = 1200 # keep process alive for 10 mins without another call config.process_recycle.requests = 1000 # restart the process every 1000 requests (to avoid leaks) config.kill_timeout = 600 # kill the process if any call lasts longer than 10 minutes Database-data fetching script example might look like this (in pseudocode): def run (config, context, cache) : expensive = context.cache["something_expensive"] for record in db_library_call (expensive, context.checkpoint, config.connection_string) : context.log (record, "logDate") # log all properties, optionally specify name of timestamp property last_date = record["logDate"] context.checkpoint = last_date # persistent checkpoint, used next time through def init(config, context, cache) : cache["something_expensive"] = get_expensive_thing() def shutdown(config, context, cache) : expensive = cache["something_expensive"] expensive.release_me() Is this API appropriately "pythonic", or are there things I should do to make this more natural to the Python scripter? (I'm more familiar with building C++/C#/Java APIs so I suspect I'm missing useful Python idioms.) Specific questions: is it natural to pass a "config" object into a method and ask the callee to set various configuration options? Or is there another preferred way to do this? when a callee needs to stream data back to its caller, is a method like context.log() (see above) appropriate, or should I be using yield instead? (yeild seems natural, but I worry it'd be over the head of most scripters) My approach requires scripts to define functions with predefined names (e.g. "run", "init", "shutdown"). Is this a good way to do it? If not, what other mechanism would be more natural? I'm passing the same config, context, cache parameters into every method. Would it be better to use a single "context" parameter instead? Would it be better to use global variables instead? Finally, are there existing libraries you'd recommend to make this kind of simple "script-running container" easier to write?

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  • Problem in working with async and await?

    - by Vicky
    I am trying to upload files to Azure Blob Storage and after successful upload adding the filename to a list for my further operation. When i am doing synchronous it works fine but when i am doing async the error occured. Error : Collection was modified; enumeration operation may not execute. foreach(var file in files) { // ..... await blockBlob.UploadFromStreamAsync(fs); listOfMovedLabelFiles.Add(fileName); } if (listOfMovedLabelFiles.Count > 0) // error point { // my code for further operation } Is there any way to wait till all the async operations get completed.

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  • OBIEE 11.1.1 - OBIEE 11g Full Sample App on VMware Player 4

    - by user809526
    The Full Sample App is designed to run on Virtual Box. Let's describe how to run it on VMware Player 4. Open Virtualization Format Tool http://communities.vmware.com/community/vmtn/server/vsphere/automationtools/ovf VMware Player Documentation https://www.vmware.com/support/pubs/player_pubs.html Full Sample App Deployment Guide sampleapp107-vbimage-deployguide-453583.pdf INSTALL VMplayer 4.0.0 as root LINUX # sh VMware-Player-4.0.0-471780.x86_64.bundle (A new VM is not needed and can be deleted later after that installation is completed. "I will install OS later" - blank hard disk Guest: linux, Red Hat Enterprise Linux 5-64bits => rename to RHEL target: eg /a/root/vmware/ Max disk size: 5 GB (will be deleted) Disk: Single file Dummy RHEL.vmk, RHEL.vmdk is generated. "Delete VM from Disk" in VM Player.) Copy Full Sample App files to target /a/root/vmware/ WARNING: Select a target eg /a/root/vmware/ with lots of free space, 95 GB. Check checksums (md5sum). Please do it! ff85c7eacf7fb8c382e98da875e879e1  Sampleapp_v107_GA-disk1.vmdk 973258cb3c7d64ab03ae853278cf2233  Sampleapp_v107_GA-disk2.vmdk e576be16e36d810479736bfb15d050f5  Sampleapp_v107_GA-disk3.vmdk 3455df77279e53e07d5fee6712f1597d  Sampleapp_v107_GA-disk4.vmdk OVF FILE   Sampleapp_v107_GA.ovf CONVERSION $ cd /a/root/vmware/ LINUX $ /usr/bin/ovftool -tt=ovf --compress=1 -dm=monolithicSparse Sampleapp_v107_GA.ovf .  [dot] Opening OVF source: Sampleapp_v107_GA.ovf Warning: No manifest file Opening OVF target: . Writing OVF package: Sampleapp_v107_GA/Sampleapp_v107_GA.ovf Disk Transfer Completed                   Completed successfully WINDOWS CYGWIN $ /cygdrive/c/VMwarePlayer/OVFTool/ovftool.exe -tt=ovf --compress=1 -dm=monolithicSparse Sampleapp_v107_GA.ovf .  [dot] Opening OVF source: Sampleapp_v107_GA.ovf Warning: No manifest file Opening OVF target: . Writing OVF package: Sampleapp_v107_GA\Sampleapp_v107_GA.ovf Disk Transfer Completed Completed successfully /a/root/vmware$ du -sk 49095328    .   [50 GB already occupied] IMPORT - First start of VM Player 4: /usr/bin/vmplayer "Open a Virtual Machine" Browse to /a/root/vmware/Sampleapp_v107_GA/Sampleapp_v107_GA.ovf [the new generated .ovf] "Import Virtual Machine" dialog Name: Sampleapp_v107_GA Location: /a/root/vmware/Sampleapp_v107_GA/storage [was /home/tdubois/vmware/Sampleapp_v107_GA] "Import" "The import failed because /a/root/vmware/Sampleapp_v107_GA/Sampleapp_v107_GA.ovf did not pass OVF specification conformance or virtual hardware compliance checks. Click Retry to relax OVF specification..." "Retry" ; Long import /a/root/vmware/Sampleapp_v107_GA/storage/Sampleapp_v107_GA.vmx and new .vmdk files are created. /a/root/vmware$ du -sk 95551384    .   [95 GB occupied] Full Sample App GUEST SETUP "Edit VM settings" min 3GB, 2+ processors, network bridged. For OBIEE + Essbase testing use 8 GB RAM hardware. At first time lauch of Full Sample App, leave OEL booting for several minutes undisturbed. Problem with X display server may occur [/usr/bin/Xorg ; man Xorg]. "Failed to start the X server.... Would you like to view the X server output to diagnose the problem?" "No" [tab key] "Would you like to try to configure the X server? Note that you will need the root password for this." "Yes" [oracle] X Display Settings 800x600 saved in /etc/X11/xorg.conf "Trying to restart the X server" Login as root/oracle in guest OEL. In guest OEL, Virtual Machine > Install VMware Tools... Extract archive VMwareTools-8.8.0-471268.tar.gz all files in writable local directory eg /root In Terminal run Perl script # cd /root/vmware-tools-distrib ; ./vmware-install.pl [keep all default answers] Set keyboard layout System > Preferences > Keyboard > Layouts Restart X server eg System > Log Out root... , relogin Modify X resolution System > Preferences > Screen Resolution Full Sample App OEL login: oracle/oracle ; root/oracle [default US keyboard layout] Credentials are described in the 'sampleapp107-vbimage-deployguide-453583.pdf' The large files in /a/root/vmware/ /a/root/vmware/Sampleapp_v107_GA/ may be removed. FAILURE REMARK: Adding the 4 original Sampleapp_v107_GA-disks[1234].vmdk to VM Player does NOT work as described below. "Edit VM settings" "Remove" "Hard Disk" "Edit VM settings" "Add" "Hard Disk" "Next" "Use an existing virtual disk" "Browse" "Finish" "Keep existing format" "Ok" for each 4 disks settings one by one. Start VM Player 4. "You do not have write access to a partition" Allow all Sampleapp_v107 OEL linux launches. OEL stalls silently after 'Checking filesystems'.

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  • Announcing SonicAgile – An Agile Project Management Solution

    - by Stephen.Walther
    I’m happy to announce the public release of SonicAgile – an online tool for managing software projects. You can register for SonicAgile at www.SonicAgile.com and start using it with your team today. SonicAgile is an agile project management solution which is designed to help teams of developers coordinate their work on software projects. SonicAgile supports creating backlogs, scrumboards, and burndown charts. It includes support for acceptance criteria, story estimation, calculating team velocity, and email integration. In short, SonicAgile includes all of the tools that you need to coordinate work on a software project, get stuff done, and build great software. Let me discuss each of the features of SonicAgile in more detail. SonicAgile Backlog You use the backlog to create a prioritized list of user stories such as features, bugs, and change requests. Basically, all future work planned for a product should be captured in the backlog. We focused our attention on designing the user interface for the backlog. Because the main function of the backlog is to prioritize stories, we made it easy to prioritize a story by just drag and dropping the story from one location to another. We also wanted to make it easy to add stories from the product backlog to a sprint backlog. A sprint backlog contains the stories that you plan to complete during a particular sprint. To add a story to a sprint, you just drag the story from the product backlog to the sprint backlog. Finally, we made it easy to track team velocity — the average amount of work that your team completes in each sprint. Your team’s average velocity is displayed in the backlog. When you add too many stories to a sprint – in other words, you attempt to take on too much work – you are warned automatically: SonicAgile Scrumboard Every workday, your team meets to have their daily scrum. During the daily scrum, you can use the SonicAgile Scrumboard to see (at a glance) what everyone on the team is working on. For example, the following scrumboard shows that Stephen is working on the Fix Gravatar Bug story and Pete and Jane have finished working on the Product Details Page story: Every story can be broken into tasks. For example, to create the Product Details Page, you might need to create database objects, do page design, and create an MVC controller. You can use the Scrumboard to track the state of each task. A story can have acceptance criteria which clarify the requirements for the story to be done. For example, here is how you can specify the acceptance criteria for the Product Details Page story: You cannot close a story — and remove the story from the list of active stories on the scrumboard — until all tasks and acceptance criteria associated with the story are done. SonicAgile Burndown Charts You can use Burndown charts to track your team’s progress. SonicAgile supports Release Burndown, Sprint Burndown by Task Estimates, and Sprint Burndown by Story Points charts. For example, here’s a sample of a Sprint Burndown by Story Points chart: The downward slope shows the progress of the team when closing stories. The vertical axis represents story points and the horizontal axis represents time. Email Integration SonicAgile was designed to improve your team’s communication and collaboration. Most stories and tasks require discussion to nail down exactly what work needs to be done. The most natural way to discuss stories and tasks is through email. However, you don’t want these discussions to get lost. When you use SonicAgile, all email discussions concerning a story or a task (including all email attachments) are captured automatically. At any time in the future, you can view all of the email discussion concerning a story or a task by opening the Story Details dialog: Why We Built SonicAgile We built SonicAgile because we needed it for our team. Our consulting company, Superexpert, builds websites for financial services, startups, and large corporations. We have multiple teams working on multiple projects. Keeping on top of all of the work that needs to be done to complete a software project is challenging. You need a good sense of what needs to be done, who is doing it, and when the work will be done. We built SonicAgile because we wanted a lightweight project management tool which we could use to coordinate the work that our team performs on software projects. How We Built SonicAgile We wanted SonicAgile to be easy to use, highly scalable, and have a highly interactive client interface. SonicAgile is very close to being a pure Ajax application. We built SonicAgile using ASP.NET MVC 3, jQuery, and Knockout. We would not have been able to build such a complex Ajax application without these technologies. Almost all of our MVC controller actions return JSON results (While developing SonicAgile, I would have given my left arm to be able to use the new ASP.NET Web API). The controller actions are invoked from jQuery Ajax calls from the browser. We built SonicAgile on Windows Azure. We are taking advantage of SQL Azure, Table Storage, and Blob Storage. Windows Azure enables us to scale very quickly to handle whatever demand is thrown at us. Summary I hope that you will try SonicAgile. You can register at www.SonicAgile.com (there’s a free 30-day trial). The goal of SonicAgile is to make it easier for teams to get more stuff done, work better together, and build amazing software. Let us know what you think!

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  • SQL Pre-Con…at the Beach

    - by Argenis
      Building upon the success of SQL Rally 2012 (where we packed a room full of DBAs), my friend Robert Davis [Twitter|Blog] and yours truly will be again delivering our day-long Pre-Conference “Demystifying Database Administration Best Practices” this Friday (6/8/2012) – right before SQLSaturday #132 in Pensacola, FL. If you are in the vicinity of Pensacola, come join us! We had tons of fun at Rally. Robert and I love sharing tips and stories that will help you on your day to day duties as a DBA. Some of the topics that we’ll touch on (this is by no means a comprehensive list) Active Directory configuration for SQL Server Deployments Windows Server Deployments Storage and I/O High Availability / Disaster Recovery / Business Continuity Replication Day-To-Day Operations Maintenance TempDB Code Reviews Other Database and Server Settings   Follow this link to sign up for the Pre-Con at Pensacola: http://demystifyingdba.eventbrite.com/ Here’s a blog post that Robert made on the subject of Best Practices.  Hope to see you there!

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  • Migration from Exchange to BPOS - Microsoft Assessment and Planning (MAP) Toolkit Link

    - by Harish Pavithran
    The Microsoft Assessment and Planning (MAP) Toolkit is an agentless toolkit that finds computers on a network and performs a detailed inventory of the computers using Windows Management Instrumentation (WMI) and the Remote Registry Service. The data and analysis provided by this toolkit can significantly simplify the planning process for migrating to Windows® 7, Windows Vista®, Microsoft Office 2007, Windows Server® 2008 R2, Windows Server 2008, Hyper-V, Microsoft Application Virtualization, Microsoft SQL Server 2008, and Forefront® Client Security and Network Access Protection. Assessments for Windows Server 2008 R2, Windows Server 2008, Windows 7, and Windows Vista include device driver availability as well as recommendations for hardware upgrades. If you are interested in server virtualization planning, MAP provides the ability to gather performance metrics from computers you are considering for virtualization and a feature to model a library of potential host hardware and storage configurations. This information can be used to quickly perform "what-if" analysis using Hyper-V and Microsoft Virtual Server 2005 R2 as virtualization platforms. http://www.microsoft.com/downloads/details.aspx?displaylang=en&FamilyID=67240b76-3148-4e49-943d-4d9ea7f77730

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  • SQL Pre-Con…at the Beach

    - by Argenis
      Building upon the success of SQL Rally 2012 (where we packed a room full of DBAs), my friend Robert Davis [Twitter|Blog] and yours truly will be again delivering our day-long Pre-Conference “Demystifying Database Administration Best Practices” this Friday (6/8/2012) – right before SQLSaturday #132 in Pensacola, FL. If you are in the vicinity of Pensacola, come join us! We had tons of fun at Rally. Robert and I love sharing tips and stories that will help you on your day to day duties as a DBA. Some of the topics that we’ll touch on (this is by no means a comprehensive list) Active Directory configuration for SQL Server Deployments Windows Server Deployments Storage and I/O High Availability / Disaster Recovery / Business Continuity Replication Day-To-Day Operations Maintenance TempDB Code Reviews Other Database and Server Settings   Follow this link to sign up for the Pre-Con at Pensacola: http://demystifyingdba.eventbrite.com/ Here’s a blog post that Robert made on the subject of Best Practices.  Hope to see you there!

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  • Best/Bad practices for code sharing?

    - by sunpech
    The more I explore Github, the more I like it. I really enjoy how coding is becoming more social. I'm curious as to if there are any bad practices that programmers should avoid in sharing their code with each other. And in naming bad practices, what are the best practices for code sharing? For example: Is it a bad practice for a single repo to have multiple scripts/projects named 'MiscProjects'? Where this repo, as the name suggest, is a collection of miscellaneous small scripts and projects. This may resemble how a programmer organizes projects on his/her local storage, but it's possibly not optimal for code sharing? Maybe if a good README/documentation is done, it would be better? Or as long as it's well documented, anything goes?

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  • Management and Monitoring Tools for Windows Azure

    - by BuckWoody
    With such a large platform, Windows Azure has a lot of moving parts. We’ve done our best to keep the interface as simple as possible, while giving you the most control and visibility we can. However, as with most Microsoft products, there are multiple ways to do something – and I’ve always found that to be a good strength. Depending on the situation, I might want a graphical interface, a command-line interface, or just an API so I can incorporate the management into my own tools, or have third-party companies write other tools. While by no means exhaustive, I thought I might put together a quick list of a few tools you can use to manage and monitor Windows Azure components, from our IaaS, SaaS and PaaS offerings. Some of the products focus on one area more than another, but all are available today. I’ll try and maintain this list to keep it current, but make sure you check the date of this post’s update – if it’s more than six months old, it’s most likely out of date. Things move fast in the cloud. The Windows Azure Management Portal The primary tool for managing Windows Azure is our portal – most everything you need is there, from creating new services to querying a database. There are two versions as of this writing – a Silverlight client version, and a newer HTML5 version. The latter is being updated constantly to be in parity with the Silverlight client. There’s a balance in this portal between simplicity and power – we’re following the “less is more” approach, with increasing levels of detail as you work through the portal rather than overwhelming you with a single, long “more is more” page. You can find the Portal here: http://windowsazure.com (then click “Log In” and then “Portal”) Windows Azure Management API You can also use programming tools to either write your own interface, or simply provide management functions directly within your solution. You have two options – you can use the more universal REST API’s, which area bit more complex but work with any system that can write to them, or the more approachable .NET API calls in code. You can find the reference for the API’s here: http://msdn.microsoft.com/en-us/library/windowsazure/ee460799.aspx  All Class Libraries, for each part of Windows Azure: http://msdn.microsoft.com/en-us/library/ee393295.aspx  PowerShell Command-lets PowerShell is one of the most powerful scripting languages I’ve used with Windows – and it’s baked into all of our products. When you need to work with multiple servers, scripting is really the only way to go, and the Windows Azure PowerShell Command-Lets allow you to work across most any part of the platform – and can even be used within the services themselves. You can do everything with them from creating a new IaaS, PaaS or SaaS service, to controlling them and even working with security and more. You can find more about the Command-Lets here: http://wappowershell.codeplex.com/documentation (older link, still works, will point you to the new ones as well) We have command-line utilities for other operating systems as well: https://www.windowsazure.com/en-us/manage/downloads/  Video walkthrough of using the Command-Lets: http://channel9.msdn.com/Events/BUILD/BUILD2011/SAC-859T  System Center System Center is actually a suite of graphical tools you can use to manage, deploy, control, monitor and tune software from Microsoft and even other platforms. This will be the primary tool we’ll recommend for managing a hybrid or contiguous management process – and as time goes on you’ll see more and more features put into System Center for the entire Windows Azure suite of products. You can find the Management Pack and README for it here: http://www.microsoft.com/en-us/download/details.aspx?id=11324  SQL Server Management Studio / Data Tools / Visual Studio SQL Server has two built-in management and development, and since Version 2008 R2, you can use them to manage Windows Azure Databases. Visual Studio also lets you connect to and manage portions of Windows Azure as well as Windows Azure Databases. You can read more about Visual Studio here: http://msdn.microsoft.com/en-us/library/windowsazure/ee405484  You can read more about the SQL tools here: http://msdn.microsoft.com/en-us/library/windowsazure/ee621784.aspx  Vendor-Provided Tools Microsoft does not suggest or endorse a specific third-party product. We do, however, use them, and see lots of other customers use them. You can browse to these sites to learn more, and chat with their folks directly on how they support Windows Azure. Cerebrata: Tools for managing from the command-line, graphical diagnostics, graphical storage management - http://www.cerebrata.com/  Quest Cloud Tools: Monitoring, Storage Management, and costing tools - http://communities.quest.com/community/cloud-tools  Paraleap: Monitoring tool - http://www.paraleap.com/AzureWatch  Cloudgraphs: Monitoring too -  http://www.cloudgraphs.com/  Opstera: Monitoring for Windows Azure and a Scale-out pattern manager - http://www.opstera.com/products/Azureops/  Compuware: SaaS performance monitoring, load testing -  http://www.compuware.com/application-performance-management/gomez-apm-products.html  SOASTA: Penetration and Security Testing - http://www.soasta.com/cloudtest/enterprise/  LoadStorm: Load-testing tool - http://loadstorm.com/windows-azure  Open-Source Tools This is probably the most specific set of tools, and the list I’ll have to maintain most often. Smaller projects have a way of coming and going, so I’ll try and make sure this list is current. Windows Azure MMC: (I actually use this one a lot) http://wapmmc.codeplex.com/  Windows Azure Diagnostics Monitor: http://archive.msdn.microsoft.com/wazdmon  Azure Application Monitor: http://azuremonitor.codeplex.com/  Azure Web Log: http://www.xentrik.net/software/azure_web_log.html  Cloud Ninja:Multi-Tennant billing and performance monitor -  http://cnmb.codeplex.com/  Cloud Samurai: Multi-Tennant Management- http://cloudsamurai.codeplex.com/    If you have additions to this list, please post them as a comment and I’ll research and then add them. Thanks!

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  • How do I align my partition table properly?

    - by Jorge Castro
    I am in the process of building my first RAID5 array. I've used mdadm to create the following set up: root@bondigas:~# mdadm --detail /dev/md1 /dev/md1: Version : 00.90 Creation Time : Wed Oct 20 20:00:41 2010 Raid Level : raid5 Array Size : 5860543488 (5589.05 GiB 6001.20 GB) Used Dev Size : 1953514496 (1863.02 GiB 2000.40 GB) Raid Devices : 4 Total Devices : 4 Preferred Minor : 1 Persistence : Superblock is persistent Update Time : Wed Oct 20 20:13:48 2010 State : clean, degraded, recovering Active Devices : 3 Working Devices : 4 Failed Devices : 0 Spare Devices : 1 Layout : left-symmetric Chunk Size : 64K Rebuild Status : 1% complete UUID : f6dc829e:aa29b476:edd1ef19:85032322 (local to host bondigas) Events : 0.12 Number Major Minor RaidDevice State 0 8 16 0 active sync /dev/sdb 1 8 32 1 active sync /dev/sdc 2 8 48 2 active sync /dev/sdd 4 8 64 3 spare rebuilding /dev/sde While that's going I decided to format the beast with the following command: root@bondigas:~# mkfs.ext4 /dev/md1p1 mke2fs 1.41.11 (14-Mar-2010) /dev/md1p1 alignment is offset by 63488 bytes. This may result in very poor performance, (re)-partitioning suggested. Filesystem label= OS type: Linux Block size=4096 (log=2) Fragment size=4096 (log=2) Stride=16 blocks, Stripe width=48 blocks 97853440 inodes, 391394047 blocks 19569702 blocks (5.00%) reserved for the super user First data block=0 Maximum filesystem blocks=0 11945 block groups 32768 blocks per group, 32768 fragments per group 8192 inodes per group Superblock backups stored on blocks: 32768, 98304, 163840, 229376, 294912, 819200, 884736, 1605632, 2654208, 4096000, 7962624, 11239424, 20480000, 23887872, 71663616, 78675968, 102400000, 214990848 Writing inode tables: ^C 27/11945 root@bondigas:~# ^C I am unsure what to do about "/dev/md1p1 alignment is offset by 63488 bytes." and how to properly partition the disks to match so I can format it properly.

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  • Laptop with Intel Graphics: external VGA monitor only gets signal on boot (no "hot plugging")

    - by iveand
    I am able to get an external VGA monitor (or projector) to work if I start my laptop with it connected. However, if I start the laptop with it disconnected there is no signal on the external. The Displays screen shows the external, and thinks that it is active, but there is no signal being sent to it. This has been a persistent problem since 10.04 (I am now on 12.04.... each upgrade hoping something is improved). I should note that even when it works (starting with display connected), Displays still says the monitor is "unknown" (but it sends the signal). For the correct resolution to display, I have had to add a few xrandr lines for my monitor to my .xprofile file... otherwise resolution is limited to default 1024x768. So, resolution issues can be worked around, but the main issue is that the external doesn't get a signal without starting the machine with it connected. I have tried: adding i915.modeset=1 to grub (also i965.modeset=1 since someone posted that this helped even though lshw shows i915) adding following ppa and doing a dist-upgrade: sudo add-apt-repository ppa:xorg-edgers/ppa Here are the details: Laptop: Toshiba Tecra M10 lspci listings for video: 00:02.0 VGA compatible controller [0300]: Intel Corporation Mobile 4 Series Chipset Integrated Graphics Controller [8086:2a42] (rev 07) sudo lshw -C video listing: *-display:0 description: VGA compatible controller product: Mobile 4 Series Chipset Integrated Graphics Controller vendor: Intel Corporation physical id: 2 bus info: pci@0000:00:02.0 version: 07 width: 64 bits clock: 33MHz capabilities: msi pm vga_controller bus_master cap_list rom configuration: driver=i915 latency=0 resources: irq:46 memory:ff400000-ff7fffff memory:e0000000-efffffff ioport:cff8(size=8) *-display:1 UNCLAIMED description: Display controller product: Mobile 4 Series Chipset Integrated Graphics Controller vendor: Intel Corporation physical id: 2.1 bus info: pci@0000:00:02.1 version: 07 width: 64 bits clock: 33MHz capabilities: pm bus_master cap_list configuration: latency=0 resources: memory:ffc00000-ffcfffff "System Info" shows my graphics as the following Mobile Intel® GM45 Express Chipset x86/MMX/SSE2

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  • Is there a way to track data structure dependencies from the database, through the tiers, all the way out to a web page?

    - by Sean Mickey
    When we design applications, we generally end up with the same tiered sets of data structures: A persistent data structure that is described using DDL and implemented as RDBMS tables and columns. A set of domain objects that consist primarily of data structures, usually combined with business-rule level logic, that are implemented in a programming language such as Java. A set of service layer interfaces that directly support use case implementations (which use the domain data structures as parameters), implemented as EJBs or something equivalent in another programming language. UI screens that allow users to C reate, R etrieve, U pdate, and (maybe) D elete all manner of data structures and graphs of data structures, with numerous screens and with multiple UI widgets, all structured to support the same data structures. But if you want to change the data structures in any of these tiers, it always seems extremely difficult to assess the impact(s) the change will have across the application. UML can help, but tracing through diagram after diagram is not a real solution to this problem. The best I have ever seen was a homespun data tracking spreadsheet document that listed all of the data structures and walked the relationships from tier-to-tier. Is there a tool or accepted approach that makes it easy to identify a data structure in any tier and easily obtain a list of all dependent: database table and column data structures domain object data structures service layer interface methods and parameter data structures screen & UI component data structures

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  • Big Data – Role of Cloud Computing in Big Data – Day 11 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the NewSQL. In this article we will understand the role of Cloud in Big Data Story What is Cloud? Cloud is the biggest buzzword around from last few years. Everyone knows about the Cloud and it is extremely well defined online. In this article we will discuss cloud in the context of the Big Data. Cloud computing is a method of providing a shared computing resources to the application which requires dynamic resources. These resources include applications, computing, storage, networking, development and various deployment platforms. The fundamentals of the cloud computing are that it shares pretty much share all the resources and deliver to end users as a service.  Examples of the Cloud Computing and Big Data are Google and Amazon.com. Both have fantastic Big Data offering with the help of the cloud. We will discuss this later in this blog post. There are two different Cloud Deployment Models: 1) The Public Cloud and 2) The Private Cloud Public Cloud Public Cloud is the cloud infrastructure build by commercial providers (Amazon, Rackspace etc.) creates a highly scalable data center that hides the complex infrastructure from the consumer and provides various services. Private Cloud Private Cloud is the cloud infrastructure build by a single organization where they are managing highly scalable data center internally. Here is the quick comparison between Public Cloud and Private Cloud from Wikipedia:   Public Cloud Private Cloud Initial cost Typically zero Typically high Running cost Unpredictable Unpredictable Customization Impossible Possible Privacy No (Host has access to the data Yes Single sign-on Impossible Possible Scaling up Easy while within defined limits Laborious but no limits Hybrid Cloud Hybrid Cloud is the cloud infrastructure build with the composition of two or more clouds like public and private cloud. Hybrid cloud gives best of the both the world as it combines multiple cloud deployment models together. Cloud and Big Data – Common Characteristics There are many characteristics of the Cloud Architecture and Cloud Computing which are also essentially important for Big Data as well. They highly overlap and at many places it just makes sense to use the power of both the architecture and build a highly scalable framework. Here is the list of all the characteristics of cloud computing important in Big Data Scalability Elasticity Ad-hoc Resource Pooling Low Cost to Setup Infastructure Pay on Use or Pay as you Go Highly Available Leading Big Data Cloud Providers There are many players in Big Data Cloud but we will list a few of the known players in this list. Amazon Amazon is arguably the most popular Infrastructure as a Service (IaaS) provider. The history of how Amazon started in this business is very interesting. They started out with a massive infrastructure to support their own business. Gradually they figured out that their own resources are underutilized most of the time. They decided to get the maximum out of the resources they have and hence  they launched their Amazon Elastic Compute Cloud (Amazon EC2) service in 2006. Their products have evolved a lot recently and now it is one of their primary business besides their retail selling. Amazon also offers Big Data services understand Amazon Web Services. Here is the list of the included services: Amazon Elastic MapReduce – It processes very high volumes of data Amazon DynammoDB – It is fully managed NoSQL (Not Only SQL) database service Amazon Simple Storage Services (S3) – A web-scale service designed to store and accommodate any amount of data Amazon High Performance Computing – It provides low-tenancy tuned high performance computing cluster Amazon RedShift – It is petabyte scale data warehousing service Google Though Google is known for Search Engine, we all know that it is much more than that. Google Compute Engine – It offers secure, flexible computing from energy efficient data centers Google Big Query – It allows SQL-like queries to run against large datasets Google Prediction API – It is a cloud based machine learning tool Other Players Besides Amazon and Google we also have other players in the Big Data market as well. Microsoft is also attempting Big Data with the Cloud with Microsoft Azure. Additionally Rackspace and NASA together have initiated OpenStack. The goal of Openstack is to provide a massively scaled, multitenant cloud that can run on any hardware. Thing to Watch The cloud based solutions provides a great integration with the Big Data’s story as well it is very economical to implement as well. However, there are few things one should be very careful when deploying Big Data on cloud solutions. Here is a list of a few things to watch: Data Integrity Initial Cost Recurring Cost Performance Data Access Security Location Compliance Every company have different approaches to Big Data and have different rules and regulations. Based on various factors, one can implement their own custom Big Data solution on a cloud. Tomorrow In tomorrow’s blog post we will discuss about various Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • SQL – Quick Start with Explorer Sections of NuoDB – Query NuoDB Database

    - by Pinal Dave
    This is the third post in the series of the blog posts I am writing about NuoDB. NuoDB is very innovative and easy-to-use product. I can clearly see how one can scale-out NuoDB with so much ease and confidence. In my very first blog post we discussed how we can install NuoDB (link), and in my second post I discussed how we can manage the NuoDB database transaction engines and storage managers with a few clicks (link). Note: You can Download NuoDB from here. In this post, we will learn how we can use the Explorer feature of NuoDB to do various SQL operations. NuoDB has a browser-based Explorer, which is very powerful and has many of the features any IDE would normally have. Let us see how it works in the following step-by-step tutorial. Let us go to the NuoDBNuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the QuickStart screen. Make sure that you have created the sample database. If you have not created sample database, click on Create Database and create it successfully. Now go to the NuoDB Explorer by clicking on the main tab, and it will ask you for your domain username and password. Enter the username as a domain and password as a bird. Alternatively you can also enter username as a quickstart and password as a quickstart. Once you enter the password you will be able to see the databases. In our example we have installed the Sample Database hence you will see the Test database in our Database Hierarchy screen. When you click on database it will ask for the database login. Note that Database Login is different from Domain login and you will have to enter your database login over here. In our case the database username is dba and password is goalie. Once you enter a valid username and password it will display your database. Further expand your database and you will notice various objects in your database. Once you explore various objects, select any database and click on Open. When you click on execute, it will display the SQL script to select the data from the table. The autogenerated script displays entire result set from the database. The NuoDB Explorer is very powerful and makes the life of developers very easy. If you click on List SQL Statements it will list all the available SQL statements right away in Query Editor. You can see the popup window in following image. Here is the cool thing for geeks. You can even click on Query Plan and it will display the text based query plan as well. In case of a SELECT, the query plan will be much simpler, however, when we write complex queries it will be very interesting. We can use the query plan tab for performance tuning of the database. Here is another feature, when we click on List Tables in NuoDB Explorer.  It lists all the available tables in the query editor. This is very helpful when we are writing a long complex query. Here is a relatively complex example I have built using Inner Join syntax. Right below I have displayed the Query Plan. The query plan displays all the little details related to the query. Well, we just wrote multi-table query and executed it against the NuoDB database. You can use the NuoDB Admin section and do various analyses of the query and its performance. NuoDB is a distributed database built on a patented emergent architecture with full support for SQL and ACID guarantees.  It allows you to add Transaction Engine processes to a running system to improve the performance of your system.  You can also add a second Storage Engine to your running system for redundancy purposes.  Conversely, you can shut down processes when you don’t need the extra database resources. NuoDB also provides developers and administrators with a single intuitive interface for centrally monitoring deployments. If you have read my blog posts and have not tried out NuoDB, I strongly suggest that you download it today and catch up with the learnings with me. Trust me though the product is very powerful, it is extremely easy to learn and use. Reference: Pinal Dave (http://blog.sqlauthority.com)   Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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  • High CPU usage with Team Speak 3.0.0-rc2

    - by AlexTheBird
    The CPU usage is always around 40 percent. I use push-to-talk and I had uninstalled pulseaudio. Now I use Alsa. I don't even have to connect to a Server. By simply starting TS the cpu usage goes up 40 percent and stays there. The CPU usage of 3.0.0-rc1 [Build: 14468] is constantly 14 percent. This is the output of top, mpstat and ps aux while I am running TS3 ... of course: alexandros@alexandros-laptop:~$ top top - 18:20:07 up 2:22, 3 users, load average: 1.02, 0.85, 0.77 Tasks: 163 total, 1 running, 162 sleeping, 0 stopped, 0 zombie Cpu(s): 5.3%us, 1.9%sy, 0.1%ni, 91.8%id, 0.7%wa, 0.1%hi, 0.1%si, 0.0%st Mem: 2061344k total, 964028k used, 1097316k free, 69116k buffers Swap: 3997688k total, 0k used, 3997688k free, 449032k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2714 alexandr 20 0 206m 31m 24m S 37 1.6 0:12.78 ts3client_linux 868 root 20 0 47564 27m 10m S 8 1.4 3:21.73 Xorg 1 root 20 0 2804 1660 1204 S 0 0.1 0:00.53 init 2 root 20 0 0 0 0 S 0 0.0 0:00.00 kthreadd 3 root RT 0 0 0 0 S 0 0.0 0:00.01 migration/0 4 root 20 0 0 0 0 S 0 0.0 0:00.45 ksoftirqd/0 5 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/0 6 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/1 7 root 20 0 0 0 0 S 0 0.0 0:00.08 ksoftirqd/1 8 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/1 9 root 20 0 0 0 0 S 0 0.0 0:01.17 events/0 10 root 20 0 0 0 0 S 0 0.0 0:00.81 events/1 11 root 20 0 0 0 0 S 0 0.0 0:00.00 cpuset 12 root 20 0 0 0 0 S 0 0.0 0:00.00 khelper 13 root 20 0 0 0 0 S 0 0.0 0:00.00 async/mgr 14 root 20 0 0 0 0 S 0 0.0 0:00.00 pm 16 root 20 0 0 0 0 S 0 0.0 0:00.00 sync_supers 17 root 20 0 0 0 0 S 0 0.0 0:00.00 bdi-default 18 root 20 0 0 0 0 S 0 0.0 0:00.00 kintegrityd/0 19 root 20 0 0 0 0 S 0 0.0 0:00.00 kintegrityd/1 20 root 20 0 0 0 0 S 0 0.0 0:00.05 kblockd/0 21 root 20 0 0 0 0 S 0 0.0 0:00.02 kblockd/1 22 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpid 23 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpi_notify 24 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpi_hotplug 25 root 20 0 0 0 0 S 0 0.0 0:00.99 ata/0 26 root 20 0 0 0 0 S 0 0.0 0:00.92 ata/1 27 root 20 0 0 0 0 S 0 0.0 0:00.00 ata_aux 28 root 20 0 0 0 0 S 0 0.0 0:00.00 ksuspend_usbd 29 root 20 0 0 0 0 S 0 0.0 0:00.00 khubd alexandros@alexandros-laptop:~$ mpstat Linux 2.6.32-32-generic (alexandros-laptop) 16.06.2011 _i686_ (2 CPU) 18:20:15 CPU %usr %nice %sys %iowait %irq %soft %steal %guest %idle 18:20:15 all 5,36 0,09 1,91 0,68 0,07 0,06 0,00 0,00 91,83 alexandros@alexandros-laptop:~$ ps aux USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.0 0.0 2804 1660 ? Ss 15:58 0:00 /sbin/init root 2 0.0 0.0 0 0 ? S 15:58 0:00 [kthreadd] root 3 0.0 0.0 0 0 ? S 15:58 0:00 [migration/0] root 4 0.0 0.0 0 0 ? S 15:58 0:00 [ksoftirqd/0] root 5 0.0 0.0 0 0 ? S 15:58 0:00 [watchdog/0] root 6 0.0 0.0 0 0 ? S 15:58 0:00 [migration/1] root 7 0.0 0.0 0 0 ? S 15:58 0:00 [ksoftirqd/1] root 8 0.0 0.0 0 0 ? S 15:58 0:00 [watchdog/1] root 9 0.0 0.0 0 0 ? S 15:58 0:01 [events/0] root 10 0.0 0.0 0 0 ? S 15:58 0:00 [events/1] root 11 0.0 0.0 0 0 ? S 15:58 0:00 [cpuset] root 12 0.0 0.0 0 0 ? S 15:58 0:00 [khelper] root 13 0.0 0.0 0 0 ? S 15:58 0:00 [async/mgr] root 14 0.0 0.0 0 0 ? S 15:58 0:00 [pm] root 16 0.0 0.0 0 0 ? S 15:58 0:00 [sync_supers] root 17 0.0 0.0 0 0 ? S 15:58 0:00 [bdi-default] root 18 0.0 0.0 0 0 ? S 15:58 0:00 [kintegrityd/0] root 19 0.0 0.0 0 0 ? S 15:58 0:00 [kintegrityd/1] root 20 0.0 0.0 0 0 ? S 15:58 0:00 [kblockd/0] root 21 0.0 0.0 0 0 ? S 15:58 0:00 [kblockd/1] root 22 0.0 0.0 0 0 ? S 15:58 0:00 [kacpid] root 23 0.0 0.0 0 0 ? S 15:58 0:00 [kacpi_notify] root 24 0.0 0.0 0 0 ? S 15:58 0:00 [kacpi_hotplug] root 25 0.0 0.0 0 0 ? S 15:58 0:00 [ata/0] root 26 0.0 0.0 0 0 ? S 15:58 0:00 [ata/1] root 27 0.0 0.0 0 0 ? S 15:58 0:00 [ata_aux] root 28 0.0 0.0 0 0 ? S 15:58 0:00 [ksuspend_usbd] root 29 0.0 0.0 0 0 ? S 15:58 0:00 [khubd] root 30 0.0 0.0 0 0 ? S 15:58 0:00 [kseriod] root 31 0.0 0.0 0 0 ? S 15:58 0:00 [kmmcd] root 34 0.0 0.0 0 0 ? S 15:58 0:00 [khungtaskd] root 35 0.0 0.0 0 0 ? S 15:58 0:00 [kswapd0] root 36 0.0 0.0 0 0 ? SN 15:58 0:00 [ksmd] root 37 0.0 0.0 0 0 ? S 15:58 0:00 [aio/0] root 38 0.0 0.0 0 0 ? S 15:58 0:00 [aio/1] root 39 0.0 0.0 0 0 ? S 15:58 0:00 [ecryptfs-kthrea] root 40 0.0 0.0 0 0 ? S 15:58 0:00 [crypto/0] root 41 0.0 0.0 0 0 ? S 15:58 0:00 [crypto/1] root 48 0.0 0.0 0 0 ? S 15:58 0:03 [scsi_eh_0] root 50 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_1] root 53 0.0 0.0 0 0 ? S 15:58 0:00 [kstriped] root 54 0.0 0.0 0 0 ? S 15:58 0:00 [kmpathd/0] root 55 0.0 0.0 0 0 ? S 15:58 0:00 [kmpathd/1] root 56 0.0 0.0 0 0 ? S 15:58 0:00 [kmpath_handlerd] root 57 0.0 0.0 0 0 ? S 15:58 0:00 [ksnapd] root 58 0.0 0.0 0 0 ? S 15:58 0:03 [kondemand/0] root 59 0.0 0.0 0 0 ? S 15:58 0:02 [kondemand/1] root 60 0.0 0.0 0 0 ? S 15:58 0:00 [kconservative/0] root 61 0.0 0.0 0 0 ? S 15:58 0:00 [kconservative/1] root 213 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_2] root 222 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_3] root 234 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_4] root 235 0.0 0.0 0 0 ? S 15:58 0:01 [usb-storage] root 255 0.0 0.0 0 0 ? S 15:58 0:00 [jbd2/sda5-8] root 256 0.0 0.0 0 0 ? S 15:58 0:00 [ext4-dio-unwrit] root 257 0.0 0.0 0 0 ? S 15:58 0:00 [ext4-dio-unwrit] root 290 0.0 0.0 0 0 ? S 15:58 0:00 [flush-8:0] root 318 0.0 0.0 2316 888 ? S 15:58 0:00 upstart-udev-bridge --daemon root 321 0.0 0.0 2616 1024 ? S<s 15:58 0:00 udevd --daemon root 526 0.0 0.0 0 0 ? S 15:58 0:00 [kpsmoused] root 528 0.0 0.0 0 0 ? S 15:58 0:00 [led_workqueue] root 650 0.0 0.0 0 0 ? S 15:58 0:00 [radeon/0] root 651 0.0 0.0 0 0 ? S 15:58 0:00 [radeon/1] root 652 0.0 0.0 0 0 ? S 15:58 0:00 [ttm_swap] root 654 0.0 0.0 2612 984 ? S< 15:58 0:00 udevd --daemon root 656 0.0 0.0 0 0 ? S 15:58 0:00 [hd-audio0] root 657 0.0 0.0 2612 916 ? S< 15:58 0:00 udevd --daemon root 674 0.6 0.0 0 0 ? S 15:58 0:57 [phy0] syslog 715 0.0 0.0 34812 1776 ? Sl 15:58 0:00 rsyslogd -c4 102 731 0.0 0.0 3236 1512 ? Ss 15:58 0:02 dbus-daemon --system --fork root 740 0.0 0.1 19088 3380 ? Ssl 15:58 0:00 gdm-binary root 744 0.0 0.1 18900 4032 ? Ssl 15:58 0:01 NetworkManager avahi 749 0.0 0.0 2928 1520 ? S 15:58 0:00 avahi-daemon: running [alexandros-laptop.local] avahi 752 0.0 0.0 2928 544 ? Ss 15:58 0:00 avahi-daemon: chroot helper root 753 0.0 0.1 4172 2300 ? S 15:58 0:00 /usr/sbin/modem-manager root 762 0.0 0.1 20584 3152 ? Sl 15:58 0:00 /usr/sbin/console-kit-daemon --no-daemon root 836 0.0 0.1 20856 3864 ? Sl 15:58 0:00 /usr/lib/gdm/gdm-simple-slave --display-id /org/gnome/DisplayManager/Display1 root 856 0.0 0.1 4836 2388 ? S 15:58 0:00 /sbin/wpa_supplicant -u -s root 868 2.3 1.3 36932 27924 tty7 Rs+ 15:58 3:22 /usr/bin/X :0 -nr -verbose -auth /var/run/gdm/auth-for-gdm-a46T4j/database -nolisten root 891 0.0 0.0 1792 564 tty4 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty4 root 901 0.0 0.0 1792 564 tty5 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty5 root 908 0.0 0.0 1792 564 tty2 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty2 root 910 0.0 0.0 1792 568 tty3 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty3 root 913 0.0 0.0 1792 564 tty6 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty6 root 917 0.0 0.0 2180 1072 ? Ss 15:58 0:00 acpid -c /etc/acpi/events -s /var/run/acpid.socket daemon 924 0.0 0.0 2248 432 ? Ss 15:58 0:00 atd root 927 0.0 0.0 2376 900 ? Ss 15:58 0:00 cron root 950 0.0 0.0 11736 1372 ? Ss 15:58 0:00 /usr/sbin/winbindd root 958 0.0 0.0 11736 1184 ? S 15:58 0:00 /usr/sbin/winbindd root 974 0.0 0.1 6832 2580 ? Ss 15:58 0:00 /usr/sbin/cupsd -C /etc/cups/cupsd.conf root 1078 0.0 0.0 1792 564 tty1 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty1 gdm 1097 0.0 0.0 3392 772 ? S 15:58 0:00 /usr/bin/dbus-launch --exit-with-session root 1112 0.0 0.1 19216 3292 ? Sl 15:58 0:00 /usr/lib/gdm/gdm-session-worker root 1116 0.0 0.1 5540 2932 ? S 15:58 0:01 /usr/lib/upower/upowerd root 1131 0.0 0.1 6308 3824 ? S 15:58 0:00 /usr/lib/policykit-1/polkitd 108 1163 0.0 0.2 16788 4360 ? Ssl 15:58 0:01 /usr/sbin/hald root 1164 0.0 0.0 3536 1300 ? S 15:58 0:00 hald-runner root 1188 0.0 0.0 3612 1256 ? S 15:58 0:00 hald-addon-input: Listening on /dev/input/event6 /dev/input/event5 /dev/input/event2 root 1194 0.0 0.0 3612 1224 ? S 15:58 0:00 /usr/lib/hal/hald-addon-rfkill-killswitch root 1200 0.0 0.0 3608 1240 ? S 15:58 0:00 /usr/lib/hal/hald-addon-generic-backlight root 1202 0.0 0.0 3616 1236 ? S 15:58 0:02 hald-addon-storage: polling /dev/sr0 (every 2 sec) root 1204 0.0 0.0 3616 1236 ? S 15:58 0:00 hald-addon-storage: polling /dev/sdb (every 2 sec) root 1211 0.0 0.0 3624 1220 ? S 15:58 0:00 /usr/lib/hal/hald-addon-cpufreq 108 1212 0.0 0.0 3420 1200 ? S 15:58 0:00 hald-addon-acpi: listening on acpid socket /var/run/acpid.socket 1000 1222 0.0 0.1 24196 2816 ? Sl 15:58 0:00 /usr/bin/gnome-keyring-daemon --daemonize --login 1000 1240 0.0 0.3 28228 7312 ? Ssl 15:58 0:00 gnome-session 1000 1274 0.0 0.0 3284 356 ? Ss 15:58 0:00 /usr/bin/ssh-agent /usr/bin/dbus-launch --exit-with-session gnome-session 1000 1277 0.0 0.0 3392 772 ? S 15:58 0:00 /usr/bin/dbus-launch --exit-with-session gnome-session 1000 1278 0.0 0.0 3160 1652 ? Ss 15:58 0:00 /bin/dbus-daemon --fork --print-pid 5 --print-address 7 --session 1000 1281 0.0 0.2 8172 4636 ? S 15:58 0:00 /usr/lib/libgconf2-4/gconfd-2 1000 1287 0.0 0.5 24228 10896 ? Ss 15:58 0:03 /usr/lib/gnome-settings-daemon/gnome-settings-daemon 1000 1290 0.0 0.1 6468 2364 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd 1000 1293 0.0 0.6 38104 13004 ? S 15:58 0:03 metacity 1000 1296 0.0 0.1 30280 2628 ? Ssl 15:58 0:00 /usr/lib/gvfs//gvfs-fuse-daemon /home/alexandros/.gvfs 1000 1301 0.0 0.0 3344 988 ? S 15:58 0:03 syndaemon -i 0.5 -k 1000 1303 0.0 0.1 8060 3488 ? S 15:58 0:00 /usr/lib/gvfs/gvfs-gdu-volume-monitor root 1306 0.0 0.1 15692 3104 ? Sl 15:58 0:00 /usr/lib/udisks/udisks-daemon 1000 1307 0.4 1.0 50748 21684 ? S 15:58 0:34 python -u /usr/share/screenlets/DigiClock/DigiClockScreenlet.py 1000 1308 0.0 0.9 35608 18564 ? S 15:58 0:00 python /usr/share/screenlets-manager/screenlets-daemon.py 1000 1309 0.0 0.3 19524 6468 ? S 15:58 0:00 /usr/lib/policykit-1-gnome/polkit-gnome-authentication-agent-1 1000 1311 0.0 0.5 37412 11788 ? S 15:58 0:01 gnome-power-manager 1000 1312 0.0 1.0 50772 22628 ? S 15:58 0:03 gnome-panel 1000 1313 0.1 1.5 102648 31184 ? Sl 15:58 0:10 nautilus root 1314 0.0 0.0 5188 996 ? S 15:58 0:02 udisks-daemon: polling /dev/sdb /dev/sr0 1000 1315 0.0 0.6 51948 12464 ? SL 15:58 0:01 nm-applet --sm-disable 1000 1317 0.0 0.1 16956 2364 ? Sl 15:58 0:00 /usr/lib/gvfs/gvfs-afc-volume-monitor 1000 1318 0.0 0.3 20164 7792 ? S 15:58 0:00 bluetooth-applet 1000 1321 0.0 0.1 7260 2384 ? S 15:58 0:00 /usr/lib/gvfs/gvfs-gphoto2-volume-monitor 1000 1323 0.0 0.5 37436 12124 ? S 15:58 0:00 /usr/lib/notify-osd/notify-osd 1000 1324 0.0 1.9 197928 40456 ? Ssl 15:58 0:06 /home/alexandros/.dropbox-dist/dropbox 1000 1329 0.0 0.3 20136 7968 ? S 15:58 0:00 /usr/bin/gnome-screensaver --no-daemon 1000 1331 0.0 0.1 7056 3112 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-trash --spawner :1.6 /org/gtk/gvfs/exec_spaw/0 root 1340 0.0 0.0 2236 1008 ? S 15:58 0:00 /sbin/dhclient -d -sf /usr/lib/NetworkManager/nm-dhcp-client.action -pf /var/run/dhcl 1000 1348 0.0 0.1 42252 3680 ? Ssl 15:58 0:00 /usr/lib/bonobo-activation/bonobo-activation-server --ac-activate --ior-output-fd=19 1000 1384 0.0 1.7 80244 35480 ? Sl 15:58 0:02 /usr/bin/python /usr/lib/deskbar-applet/deskbar-applet/deskbar-applet --oaf-activate- 1000 1388 0.0 0.5 26196 11804 ? S 15:58 0:01 /usr/lib/gnome-panel/wnck-applet --oaf-activate-iid=OAFIID:GNOME_Wncklet_Factory --oa 1000 1393 0.1 0.5 25876 11548 ? S 15:58 0:08 /usr/lib/gnome-applets/multiload-applet-2 --oaf-activate-iid=OAFIID:GNOME_MultiLoadAp 1000 1394 0.0 0.5 25600 11140 ? S 15:58 0:03 /usr/lib/gnome-applets/cpufreq-applet --oaf-activate-iid=OAFIID:GNOME_CPUFreqApplet_F 1000 1415 0.0 0.5 39192 11156 ? S 15:58 0:01 /usr/lib/gnome-power-manager/gnome-inhibit-applet --oaf-activate-iid=OAFIID:GNOME_Inh 1000 1417 0.0 0.7 53544 15488 ? Sl 15:58 0:00 /usr/lib/gnome-applets/mixer_applet2 --oaf-activate-iid=OAFIID:GNOME_MixerApplet_Fact 1000 1419 0.0 0.4 23816 9068 ? S 15:58 0:00 /usr/lib/gnome-panel/notification-area-applet --oaf-activate-iid=OAFIID:GNOME_Notific 1000 1488 0.0 0.3 20964 7548 ? S 15:58 0:00 /usr/lib/gnome-disk-utility/gdu-notification-daemon 1000 1490 0.0 0.1 6608 2484 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-burn --spawner :1.6 /org/gtk/gvfs/exec_spaw/1 1000 1510 0.0 0.1 6348 2084 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-metadata 1000 1531 0.0 0.3 19472 6616 ? S 15:58 0:00 /usr/lib/gnome-user-share/gnome-user-share 1000 1535 0.0 0.4 77128 8392 ? Sl 15:58 0:00 /usr/lib/evolution/evolution-data-server-2.28 --oaf-activate-iid=OAFIID:GNOME_Evoluti 1000 1601 0.0 0.5 69576 11800 ? Sl 15:59 0:00 /usr/lib/evolution/2.28/evolution-alarm-notify 1000 1604 0.0 0.7 33924 15888 ? S 15:59 0:00 python /usr/share/system-config-printer/applet.py 1000 1701 0.0 0.5 37116 11968 ? S 15:59 0:00 update-notifier 1000 1892 4.5 7.0 406720 145312 ? Sl 17:11 3:09 /opt/google/chrome/chrome 1000 1896 0.0 0.1 69812 3680 ? S 17:11 0:02 /opt/google/chrome/chrome 1000 1898 0.0 0.6 91420 14080 ? S 17:11 0:00 /opt/google/chrome/chrome --type=zygote 1000 1916 0.2 1.3 140780 27220 ? Sl 17:11 0:12 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1918 0.7 1.8 155720 37912 ? Sl 17:11 0:31 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1921 0.0 1.0 135904 21052 ? Sl 17:11 0:02 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1927 6.5 3.6 194604 74960 ? Sl 17:11 4:32 /opt/google/chrome/chrome --type=renderer --disable-client-side-phishing-detection -- 1000 2156 0.4 0.7 48344 14896 ? Rl 18:03 0:04 gnome-terminal 1000 2157 0.0 0.0 1988 712 ? S 18:03 0:00 gnome-pty-helper 1000 2158 0.0 0.1 6504 3860 pts/0 Ss 18:03 0:00 bash 1000 2564 0.2 0.1 6624 3984 pts/1 Ss+ 18:17 0:00 bash 1000 2711 0.0 0.0 4208 1352 ? S 18:19 0:00 /bin/bash /home/alexandros/Programme/TeamSpeak3-Client-linux_x86_back/ts3client_runsc 1000 2714 36.5 1.5 210872 31960 ? SLl 18:19 0:18 ./ts3client_linux_x86 1000 2743 0.0 0.0 2716 1068 pts/0 R+ 18:20 0:00 ps aux Output of vmstat: alexandros@alexandros-laptop:~$ vmstat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 0 0 0 1093324 69840 449496 0 0 27 10 476 667 6 2 91 1 Output of lsusb alexandros@alexandros-laptop:~$ lspci 00:00.0 Host bridge: Silicon Integrated Systems [SiS] 671MX 00:01.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:02.0 ISA bridge: Silicon Integrated Systems [SiS] SiS968 [MuTIOL Media IO] (rev 01) 00:02.5 IDE interface: Silicon Integrated Systems [SiS] 5513 [IDE] (rev 01) 00:03.0 USB Controller: Silicon Integrated Systems [SiS] USB 1.1 Controller (rev 0f) 00:03.1 USB Controller: Silicon Integrated Systems [SiS] USB 1.1 Controller (rev 0f) 00:03.3 USB Controller: Silicon Integrated Systems [SiS] USB 2.0 Controller 00:05.0 IDE interface: Silicon Integrated Systems [SiS] SATA Controller / IDE mode (rev 03) 00:06.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:07.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:0d.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL-8139/8139C/8139C+ (rev 10) 00:0f.0 Audio device: Silicon Integrated Systems [SiS] Azalia Audio Controller 01:00.0 VGA compatible controller: ATI Technologies Inc Mobility Radeon X2300 02:00.0 Ethernet controller: Atheros Communications Inc. AR5001 Wireless Network Adapter (rev 01) The Team Speak log file : 2011-06-19 19:04:04.223522|INFO | | | Logging started, clientlib version: 3.0.0-rc2 [Build: 14642] 2011-06-19 19:04:04.761149|ERROR |SoundBckndIntf| | /home/alexandros/Programme/TeamSpeak3-Client-linux_x86_back/soundbackends/libpulseaudio_linux_x86.so error: NOT_CONNECTED 2011-06-19 19:04:05.871770|INFO |ClientUI | | Failed to init text to speech engine 2011-06-19 19:04:05.894623|INFO |ClientUI | | TeamSpeak 3 client version: 3.0.0-rc2 [Build: 14642] 2011-06-19 19:04:05.895421|INFO |ClientUI | | Qt version: 4.7.2 2011-06-19 19:04:05.895571|INFO |ClientUI | | Using configuration location: /home/alexandros/.ts3client/ts3clientui_qt.conf 2011-06-19 19:04:06.559596|INFO |ClientUI | | Last update check was: Sa. Jun 18 00:08:43 2011 2011-06-19 19:04:06.560506|INFO | | | Checking for updates... 2011-06-19 19:04:07.357869|INFO | | | Update check, my version: 14642, latest version: 14642 2011-06-19 19:05:52.978481|INFO |PreProSpeex | 1| Speex version: 1.2rc1 2011-06-19 19:05:54.055347|INFO |UIHelpers | | setClientVolumeModifier: 10 -8 2011-06-19 19:05:54.057196|INFO |UIHelpers | | setClientVolumeModifier: 11 2 Thanks for taking the time to read my message. UPDATE: Thanks to nickguletskii's link I googled for "alsa cpu usage" (without quotes) and it brought me to a forum. A user wrote that by directly selecting the hardware with "plughw:x.x" won't impact the performance of the system. I have selected it in the TS 3 configuration and it worked. But this solution is not optimal because now no other program can access the sound output. If you need any further information or my question is unclear than please tell me.

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